Teaches the Second Brain to recognize a new external data source.

Apache-2.0Auto-check: notesDocuments & Office

Install Teach

skills CLI
$ npx skills add ccplugins/awesome-claude-code-plugins --skill teach -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install ccplugins/awesome-claude-code-plugins teach --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/ccplugins/awesome-claude-code-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/bedrock/skills/teach .claude/skills/teach && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
teach
GitHub stars
967
Token cost
~5.9k tokens
SKILL.md length
2,503 words
Files
1
Skills in repo
68
Repo updated
First seen
Licence
Apache-2.0

At a glance

Teaches the Second Brain to recognize a new external data source.

  • Works in 6 steps: Ensure docling is installed → Fetch → 5 — Docling Conversion → …
  • : bedrock teach
  • SKILL.md covers Plugin Paths, Vault Resolution, Overview and Phase 0 — Ensure docling is…, plus 6 more sections
  • Calls git, pipx and pip3; reaches github.com

What it does

Teach is an agent skill from ccplugins/awesome-claude-code-plugins. Teaches the Second Brain to recognize a new external data source. Fetches content from Confluence, Google Docs, GitHub repositories, remote URLs, or any local file format supported by docling (DOCX, PPTX, XLSX, PDF, HTML, EPUB, images, Markdown, CSV, and more), converts non-markdown formats to markdown via docling, runs the /graphify extraction pipeline, and delegates entity persistence (including the graphify-output merge) to /bedrock:preserve. Use when: "bedrock teach", "bedrock-teach", "teach", "ingest…

Its SKILL.md is about 5.9k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Documents & Office, covering Document parsing, Second brain and Cloud office suites. It works with GitHub, Google Docs, Confluence and Microsoft Excel. The repository describes itself as: Awesome Claude Code plugins — a curated list of slash commands, subagents, MCP servers, and hooks for Claude Code. The licence is Apache-2.0.

When your agent uses it

  • : bedrock teach
  • Import document
  • The user provides a Confluence
  • A remote file URL

Example prompts

  • “bedrock teach”
  • “bedrock-teach”
  • “ingest source”
  • “/teach”

Requirements

  • Python 3
  • Pre-approved tools (allowed-tools): Bash, Read, Write, Edit, Glob, Grep, Skill, Agent, WebFetch, mcp__plugin_github_github__*, mcp__plugin_atlassian_atlassian__*

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Ensure docling is installed
  2. Fetch
  3. 5 — Docling Conversion
  4. Extract
  5. Delegate to /bedrock:preserve
  6. Cleanup and Report

What it can do on your machine

Read from SKILL.md and the folder at commit 5bd4f16. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Bash
    • Read
    • Write
    • Edit
    • Glob
    • Grep
    • Skill
    • Agent
    • WebFetch
    • mcp__plugin_github_github__*

    …and 1 more on the same allowed-tools line.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • git
    • pipx
    • pip3
    • pip
    • curl
    • rsync

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • github.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Teach loads about 5.9k tokens when it runs. Until then it costs about 175 tokens; SKILL.md has 2,503 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~175
When it runs · the whole SKILL.md, loaded when a task matches
~5.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Bash, Read, Write, Edit, Glob, Grep, Skill, Agent, WebFetch, mcp__plugin_github_github__*, mcp__plug

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from ccplugins/awesome-claude-code-plugins at commit 5bd4f16, republished under its Apache-2.0 licence (© ccplugins). 2,503 words, ~5,870 tokens.

Download SKILL.mdSave it as .claude/skills/teach/SKILL.md (or your agent's skills folder).
name
teach
description
Teaches the Second Brain to recognize a new external data source. Fetches content from Confluence, Google Docs, GitHub repositories, remote URLs, or any local file format supported by docling (DOCX, PPTX, XLSX, PDF, HTML, EPUB, images, Markdown, CSV, and more), converts non-markdown formats to markdown via docling, runs the /graphify extraction pipeline, and delegates entity persistence (including the graphify-output merge) to /bedrock:preserve. Use when: "bedrock teach", "bedrock-teach", "teach", "ingest source", "import document", "/bedrock:teach", or when the user provides a Confluence, Google Docs, or GitHub URL, a remote file URL, or a local file path to incorporate into the vault.
allowed-tools
Bash, Read, Write, Edit, Glob, Grep, Skill, Agent, WebFetch, mcp__plugin_github_github__*, mcp__plugin_atlassian_atlassian__*
user_invocable
true

/bedrock:teach — External Source Ingestion into the Second Brain

Plugin Paths

Entity definitions and templates are in the plugin directory, not at the vault root. Use the "Base directory for this skill" provided at invocation to resolve paths:

  • Entity definitions: <base_dir>/../../entities/
  • Templates: <base_dir>/../../templates/{type}/_template.md
  • Plugin CLAUDE.md: <base_dir>/../../CLAUDE.md (already injected automatically into context)

Where <base_dir> is the path provided in "Base directory for this skill".


Vault Resolution

Resolve which vault to teach. This skill can be invoked from any directory.

Step 1 — Parse --vault flag: Check if the input arguments include --vault <name>. If found, extract the vault name and remove it from the arguments (the remaining text is the source URL/path).

Step 2 — Resolve vault path:

  1. If --vault <name> was provided: Read the vault registry at <base_dir>/../../vaults.json. Find the entry matching the name. If not found: error — "Vault <name> is not registered. Run /bedrock:vaults to see available vaults." If found: set VAULT_PATH to the entry's path value. Store the resolved vault name as VAULT_NAME.

  2. If no --vault flag — CWD detection: Read <base_dir>/../../vaults.json. Check if the current working directory is inside any registered vault path (CWD starts with a registered vault's absolute path). If multiple match, use the longest path (most specific). If found: set VAULT_PATH to the matching vault's path. Store its name as VAULT_NAME.

  3. If CWD detection fails — default vault: From the registry, find the vault with "default": true. If found: set VAULT_PATH to the default vault's path. Store its name as VAULT_NAME.

  4. If no resolution: Error — "No vault resolved. Available vaults:" followed by the registry listing. "Use --vault <name> to specify, or run /bedrock:setup to register a vault."

Step 3 — Validate vault path:

bash
test -d "<VAULT_PATH>" && echo "exists" || echo "missing"

If missing: error — "Vault path <VAULT_PATH> does not exist on disk. Run /bedrock:setup to re-register."

Step 4 — Read vault config:

bash
cat <VAULT_PATH>/.bedrock/config.json 2>/dev/null

Extract language and other relevant fields for use in later phases.

From this point forward, ALL vault file operations use <VAULT_PATH> as the root.

  • Graphify output: <VAULT_PATH>/graphify-out/
  • When delegating to /bedrock:preserve, pass --vault <VAULT_NAME>

Overview

This skill receives an external source (URL or local path), fetches its content to a temporary directory, converts non-markdown files to markdown via docling, runs the /graphify extraction pipeline on the tmp content, and delegates entity persistence (plus graphify-output merge) to /bedrock:preserve.

You are a fetcher and orchestrator agent. Your job is to:

  1. Ensure docling is installed (auto-install if missing)
  2. Classify the input and fetch content to /tmp
  3. Convert fetched files to markdown via docling (when applicable)
  4. Invoke /graphify to extract a knowledge graph into a per-run temp directory
  5. Delegate graph merge and entity writes to /bedrock:preserve
  6. Clean up temporary files

You do NOT classify entities, create vault files, write to the vault directly, or merge graph state. All extraction is done by /graphify. All writes (including the graphify-output merge into the vault's cumulative graphify-out/) are done by /bedrock:preserve.

Follow the phases below in order, without skipping steps.


Phase 0 — Ensure docling is installed

Before any fetch or conversion, verify that the docling CLI is available. If missing, install it silently using the same fallback chain /bedrock:setup uses for graphify, emitting a single status line before proceeding.

bash
if command -v docling >/dev/null 2>&1; then
  echo "Phase 0: docling already installed — proceeding."
else
  echo "Phase 0: docling not found — installing silently (one-time setup, may take a few minutes for model download)."
  # Step 1 — pipx (preferred, isolated)
  if command -v pipx >/dev/null 2>&1; then
    pipx install docling >/dev/null 2>&1 || true
  fi
  # Step 2 — pip (fallback if pipx unavailable or failed)
  if ! command -v docling >/dev/null 2>&1; then
    if command -v pip3 >/dev/null 2>&1; then
      pip3 install --user docling >/dev/null 2>&1 || true
    elif command -v pip >/dev/null 2>&1; then
      pip install --user docling >/dev/null 2>&1 || true
    fi
  fi
  # Final re-probe
  if ! command -v docling >/dev/null 2>&1; then
    echo "ERROR: docling install failed. Run /bedrock:setup to install it, or install manually: pipx install docling"
    exit 1
  fi
  echo "Phase 0: docling installed."
fi

Failure mode: If install fails (no pipx/pip, network outage, permission denied), abort the skill with the error above. Do NOT fetch or mutate anything. Direct the user to /bedrock:setup.

No user prompt: this step is silent — one status line on success, one error line on failure.


Phase 1 — Fetch

1.1 Classify the input

The user provides an argument. Classify it in the following priority order. URL-type routing is unchanged; local files no longer have an extension allowlist — any existing file is accepted, and Phase 1.5 decides whether to run docling on it.

InputDetected typeFetch method
URL containing confluence or atlassian.netconfluenceRead skills/confluence-to-markdown/SKILL.md, follow instructions, save output to tmp
URL containing docs.google.comgdocRead skills/gdoc-to-markdown/SKILL.md, follow instructions, save output to tmp
URL containing github.comgithub-repogit clone --depth 1 to tmp + GitHub MCP enrichment (docling never runs on GitHub repos)
URL starting with http:// or https:// (any other)remote-binaryDownload raw bytes to tmp via curl/WebFetch; Phase 1.5 decides conversion
Local file path (any existing file)local-fileCopy to tmp; Phase 1.5 decides conversion
Local directory pathlocal-dirCopy directory to tmp
No match abovemanualAsk the user: "Could not identify the source type. Paste the content or provide a valid URL/path."

If no argument was provided: ask the user "What source do you want to ingest? Provide a URL (Confluence, Google Docs, GitHub, or any HTTP(S) URL) or a local file path (any file type — docling will convert it to markdown if supported)."

1.2 Create temporary directory

All content is fetched to a temporary directory. This is the single input path for /graphify.

bash
TEACH_TMP="/tmp/bedrock-teach-$(date +%s)"
mkdir -p "$TEACH_TMP"
echo "Temporary directory: $TEACH_TMP"

Store the path for use in subsequent phases.

1.3 Fetch content

Execute the fetch strategy for the detected type. All content lands in $TEACH_TMP/.

1.3.1 GitHub repository

For GitHub URLs (e.g.: https://github.com/acme-corp/billing-api):

  1. Extract owner/repo and repo-name from the URL
  2. Clone the repository (shallow):
    bash
    git clone --depth 1 <url> "$TEACH_TMP/<repo-name>"
  3. GitHub MCP enrichment — call directly in main context (NOT via subagent — MCP permissions are not inherited):
    • mcp__plugin_github_github__get_file_contents → read the repo's README.md
    • mcp__plugin_github_github__list_commits → last 10 commits
    • mcp__plugin_github_github__list_pull_requests → last 5 PRs (state=all, sort=updated)
  4. Compile MCP results into a single markdown file and save as $TEACH_TMP/<repo-name>/_github_metadata.md

Best-effort: If any MCP call fails, continue with what was obtained. Do NOT block ingestion.

1.3.2 Confluence

For Confluence URLs:

  1. Read the internal skill at <base_dir>/../confluence-to-markdown/SKILL.md
  2. Follow its instructions to parse the URL, choose layer (MCP → API → browser), and extract content
  3. Save the returned Markdown content to $TEACH_TMP/<slug>.md
    • <slug> is derived from the page title or URL path (kebab-case, lowercase)

If all three layers (MCP, API, browser) are unavailable: warn the user with the guidance message from the fetcher module and abort this source type.

1.3.3 Google Docs / Sheets

For Google Docs or Sheets URLs:

  1. Read the internal skill at <base_dir>/../gdoc-to-markdown/SKILL.md
  2. Follow its instructions to parse the URL, detect document type (Doc vs Sheet), choose layer (MCP → API/public export → browser), and extract content
  3. The fetcher saves output to /tmp/gdoc_{docId}.md or /tmp/gsheet_{docId}.md
  4. Copy the output file to $TEACH_TMP/<slug>.md
    • <slug> is derived from the document title or URL path (kebab-case, lowercase)

If all three layers (MCP, API/public export, browser) are unavailable: warn the user with the guidance message from the fetcher module and abort this source type.

1.3.4 Remote URL (generic)

For any other HTTP/HTTPS URL, download the raw bytes so docling can operate on binary formats (PDF, DOCX, PPTX, XLSX, images, etc.) that WebFetch cannot return faithfully as text:

  1. Try curl first for true binary fidelity:
    bash
    curl -fsSL -o "$TEACH_TMP/<filename-derived-from-url>" "<url>"
    • <filename-derived-from-url> preserves the URL's basename (including extension) when available; fall back to <slug>.bin if no extension is present.
  2. If curl is unavailable or the URL returns an HTML page (by Content-Type), fall back to WebFetch and save the response text as $TEACH_TMP/<slug>.md.

If both attempts fail: warn "Could not fetch URL. Check if the URL is accessible." and abort.

Phase 1.5 decides whether the downloaded file goes through docling, based on the file extension.

1.3.5 Local file (any format)

For local files:

  1. Verify the file exists using Read (or test -f).
  2. Copy to tmp preserving the filename:
    bash
    cp "<local-path>" "$TEACH_TMP/"

No extension-based filtering — any existing file is accepted. Phase 1.5 decides conversion.

1.3.6 Local directory

For local directories:

  1. Verify the directory exists
  2. Copy to tmp (excluding heavy directories):
    bash
    rsync -a --exclude='.git' --exclude='node_modules' --exclude='bin' --exclude='obj' \
      --exclude='.vs' --exclude='TestResults' --exclude='packages' \
      "<local-dir>/" "$TEACH_TMP/$(basename <local-dir>)/"
1.4 Phase 1 result

At the end of this phase, you should have:

  • $TEACH_TMP: directory with all fetched content (local path for graphify)
  • source_url: original URL or file path provided by the user
  • source_type: confluence, gdoc, github-repo, remote-binary, local-file, local-dir, or manual

Report: "Phase 1 complete: Content fetched to $TEACH_TMP. Source type: <source_type>."


Phase 1.5 — Docling Conversion

For every fetched file in $TEACH_TMP that is not a GitHub repo and is not already markdown output from Confluence/GDoc fetchers, check whether docling supports the file type and, if so, convert it to markdown in place. GitHub repos (source_type == "github-repo") skip this phase entirely and flow straight to graphify.

1.5.1 Docling-supported extensions

Docling supports conversion for the following file types (as of the version installed by Phase 0 / /bedrock:setup). Compare by lowercase file extension:

.pdf .docx .pptx .xlsx
.html .htm
.md .adoc
.png .jpg .jpeg .tiff .bmp
.epub
  • .md is listed here because docling passes markdown through largely unchanged. In practice, running docling on .md is a no-op we skip to save time — treat .md as already-markdown.
  • .txt and .csv are NOT in docling's supported list (they are plain-text already); skip docling and pass through raw.
Show full SKILL.md (1,099 more words)Show less
1.5.2 Routing and failure rules

For each file under $TEACH_TMP (excluding files inside <repo-name>/ subdirectories of a github-repo source — skip those entirely):

  1. Skip by type — already markdown or plain text: if extension is .md, .txt, or .csv, leave the file untouched and record status passed-through for the report. Graphify handles these natively.

  2. Skip by routing — not docling-supported: if the extension is not in the supported list above AND is not .md/.txt/.csv, leave the file untouched and record status passed-through with a note (type not supported by docling). Graphify decides what to do with the raw file.

  3. Run docling: otherwise, invoke docling and replace the source file with the converted markdown. Docling writes to the working directory by default; use --to md and --output to target a predictable path:

    bash
    cd "$TEACH_TMP"
    docling --from <auto> --to md --output "$TEACH_TMP" "<relative-file-path>"

    Docling produces <stem>.md alongside the source. After a successful run:

    • Remove the original binary: rm "<relative-file-path>".
    • Record status converted for the report with the new markdown filename.
  4. Failure fallback: if docling exits non-zero for a file:

    • If the source file's extension is .md, .txt, or .csv (already handled by rule 1, so this branch is defensive): leave the original file in place, record status failed-fallback (raw passthrough), and continue with other files.
    • Otherwise (binary format like .docx, .pdf, etc.): abort the entire skill. Clean up $TEACH_TMP (rm -rf "$TEACH_TMP") and emit a clear error: ERROR: docling failed to convert <file>. Aborting ingestion. Temp directory cleaned up. Do NOT proceed to graphify or preserve.
1.5.3 Phase 1.5 result

At the end of Phase 1.5:

  • $TEACH_TMP contains markdown files (either originals or docling-converted).
  • You have a per-file status map to surface in Phase 4's report:
    • converted: ran docling successfully
    • passed-through: skipped docling (markdown/plain text or unsupported type)
    • failed-fallback: docling failed but file was text-native; continued with raw file

Report: "Phase 1.5 complete: N converted, M passed-through, P failed-fallback."


Phase 2 — Extract

2.1 Invoke /graphify into a per-run temp directory

Use the Skill tool to invoke /graphify, directing its output to a per-run temp directory (not the vault). The vault's cumulative graphify-out/ is updated by /bedrock:preserve's Phase 0 merge step, not by this skill.

/graphify $TEACH_TMP --mode deep --obsidian --obsidian-dir $TEACH_TMP

The convention used here: passing --obsidian-dir $TEACH_TMP makes graphify write its graphify-out/ tree under $TEACH_TMP/graphify-out/. Store that path as:

bash
GRAPHIFY_OUT_NEW="$TEACH_TMP/graphify-out"

IMPORTANT:

  • Invoke via the Skill tool — never call graphify Python API directly.
  • /graphify runs its full pipeline: detect → extract (AST + semantic) → build → cluster → analyze → obsidian export.
  • Output lands in $GRAPHIFY_OUT_NEW, which is inside the temp directory. The vault's <VAULT_PATH>/graphify-out/ is NOT touched by this skill — /bedrock:preserve owns that write.
2.2 Verify output

After /graphify completes, verify the output in the temp location:

bash
if [ -f "$GRAPHIFY_OUT_NEW/graph.json" ] && [ -s "$GRAPHIFY_OUT_NEW/graph.json" ]; then
    echo "graphify output verified: graph.json exists and is non-empty"
else
    echo "ERROR: $GRAPHIFY_OUT_NEW/graph.json is missing or empty"
fi

If graph.json is missing or empty:

  • Warn the user: "graphify extraction failed — no graph produced. Check the content and try again."
  • Clean up tmp: rm -rf "$TEACH_TMP"
  • Abort gracefully
2.3 Phase 2 result

The following files should exist in $GRAPHIFY_OUT_NEW:

  • graph.json — knowledge graph (nodes, edges, communities)
  • GRAPH_REPORT.md — audit report with god nodes, surprising connections
  • obsidian/*.md — one markdown file per node
  • .graphify_analysis.json — communities, cohesion scores, god nodes

Report: "Phase 2 complete: graphify extraction finished in $GRAPHIFY_OUT_NEW. Graph: N nodes, M edges. Will be merged into the vault by /bedrock:preserve."


Phase 3 — Delegate to /bedrock:preserve

3.1 Compile input for /preserve

Pass the temp graphify output path and provenance metadata to /bedrock:preserve. The skill's Phase 0.2 merges this temp output into the vault's cumulative graphify-out/:

graphify_output_path: $GRAPHIFY_OUT_NEW       # = $TEACH_TMP/graphify-out/
source_url: <source_url from Phase 1>
source_type: <source_type from Phase 1>

IMPORTANT:

  • /teach does NOT classify graphify nodes into entity types. Entity classification, filtering, matching, and user confirmation are all /bedrock:preserve's responsibility (Phase 1.3).
  • /teach does NOT merge the graph into the vault. That is /bedrock:preserve's responsibility (Phase 0.2). We pass the per-run temp path; preserve merges and then reads from the merged <VAULT_PATH>/graphify-out/.
3.2 Invoke /preserve

Use the Skill tool to invoke /bedrock:preserve --vault <VAULT_NAME> passing the graphify output reference (pointing at $GRAPHIFY_OUT_NEW) and provenance metadata as the argument. The --vault <VAULT_NAME> flag ensures preserve writes to the same vault.

3.3 Receive result

/bedrock:preserve returns:

  • List of entities created/updated
  • Commit hash (if there was a commit)
  • graphify_merge block: {nodes_added, nodes_merged, edges_added, stale_flag_set} from preserve's Phase 0.2 merge
  • Any errors or warnings

Record the result for use in the report (Phase 4).


Phase 4 — Cleanup and Report

4.1 Cleanup temporary directory

After /bedrock:preserve confirms completion, remove the temporary directory:

bash
rm -rf "$TEACH_TMP"
echo "Temporary directory cleaned up: $TEACH_TMP"

IMPORTANT: Clean up AFTER /preserve confirms, not after graphify finishes. The graphify output in graphify-out/ is NOT cleaned up — it lives in the vault and is used by /bedrock:ask for graph traversal.

4.2 Report

Present to the user:

## /bedrock:teach — Report

### Ingested source
- **Type:** <source_type>
- **URL/Path:** <source_url>

### Docling conversion (Phase 1.5)
| File | Status | Notes |
|---|---|---|
| report.docx | converted | output: report.md |
| notes.txt | passed-through | text-native |
| diagram.svg | passed-through | type not supported by docling |

Summary: N converted, M passed-through, P failed-fallback.
(Omit this block entirely for `source_type == "github-repo"` where docling is bypassed.)

### Extraction (via /graphify)
- **Graph:** N nodes, M edges, P communities (fresh run into $TEACH_TMP)
- **Report:** $GRAPHIFY_OUT_NEW/GRAPH_REPORT.md (before merge)

### Graphify merge (via /bedrock:preserve Phase 0.2)
| Metric | Value |
|---|---|
| Nodes added | N |
| Nodes merged | M |
| Edges added | P |
| Analysis marked stale | true / false |

(Pulled verbatim from `/bedrock:preserve`'s `graphify_merge` return block.)

### Entities processed (via /bedrock:preserve)
| Type | Name | Action |
|---|---|---|
| actor | billing-api | update |
| topic | 2026-04-migration-payments | create |
| code | process-transaction | create |

### Provenance
Each entity above received in the `sources` frontmatter field:
- url: <source_url>
- type: <source_type>
- synced_at: <today's date>

### Git
- Commit: <hash from /bedrock:preserve or "no entities">
- Push: success / failed (reason)

### Suggestions
- [list of entities mentioned in the content but not created, if any]
- [recommendations for future re-ingestion, if applicable]

Critical Rules

RuleDetail
Invoke /graphify via Skill toolNEVER call graphify Python API directly (graphify.detect, graphify.build, graphify.extract, etc.). Always invoke via the Skill tool.
All remote content fetched to /tmpEvery input type is fetched to /tmp/bedrock-teach-<ts>/ before invoking graphify. graphify receives only a local path.
/teach does NOT classify entitiesEntity classification, filtering, matching, and user confirmation are /bedrock:preserve's responsibility. /teach passes the graphify output path and provenance metadata.
Delegate to /bedrock:preserveALL entities are persisted via /bedrock:preserve — teach does NOT create, update, or write vault entities.
/teach does NOT merge graphify output into the vaultGraphify is invoked into $TEACH_TMP/graphify-out/ (per-run temp dir); /bedrock:preserve's Phase 0.2 merges that into <VAULT_PATH>/graphify-out/. /teach never writes directly to the vault's graphify-out/.
Docling auto-install is silentPhase 0 auto-installs docling if missing with a single status line — no user prompt. Fail the skill if install fails; direct the user to /bedrock:setup.
Docling skipped for GitHub repossource_type == "github-repo" skips Phase 1.5 entirely — cloned repos flow straight to graphify.
Docling routing ruleRun docling on files with docling-supported extensions (see Phase 1.5.1). Pass-through for .md/.txt/.csv and for extensions not in docling's supported list.
Docling failure fallbackOn docling non-zero exit: if file is .md/.txt/.csv, continue with raw file. For any other extension, abort the entire skill and clean up $TEACH_TMP.
Cleanup /tmp after /preserve confirmsRemove /tmp/bedrock-teach-<ts>/ only after /preserve confirms completion, not after graphify finishes.
Provenance via source_urlALWAYS include source_url and source_type when delegating to /bedrock:preserve.
Internal fetcher skillsRead internal skills from <base_dir>/../confluence-to-markdown/SKILL.md and <base_dir>/../gdoc-to-markdown/SKILL.md for content fetching. Never invoke external skills.
Best-effort for external sourcesIf MCP or fetch fails, warn and continue with what was obtained. Never block ingestion.
MCP in main contextDo NOT use subagents for GitHub/Atlassian MCP calls — permissions are not inherited.
Maximum 2 push attemptsAfter that, abort and inform (handled by /preserve).
Sensitive dataNEVER include credentials, tokens, passwords, PANs, CVVs.
Vault resolution firstResolve VAULT_PATH before any file operation — never assume CWD is the vault
Pass --vault to /preserveALWAYS include --vault <VAULT_NAME> when delegating to /bedrock:preserve

© ccplugins, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in plugins/bedrock/skills/teach of ccplugins/awesome-claude-code-plugins.

Open the folder on GitHubat commit 5bd4f16

Compare with similar skills

Teach next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Teach compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Teach this skillccplugins/awesome-claude-code-plugins967—~5.9kAutomated safety check: NotesApache-2.0
Learniurykrieger/claude-bedrock105—~6.5kAutomated safety check: NotesMIT
MarkitdownImCa0/just-laws78114 repos~3.2kAutomated safety check: NotesMIT
Markitshift-labs-ai/markit1.3k—~299Automated safety check: PassMIT
Markdown Converterintellectronica/agent-skills2954 repos~492Automated safety check: PassCC0-1.0
To MarkdownMathews-Tom/armory327—~2kAutomated safety check: PassMIT

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    Ingests an external data source into the Second Brain. An agent skill from iurykrieger/claude-bedrock.

    105 GitHub stars~6.5k tokensUpdated 5 mo ago
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    Convert files and office documents to Markdown. An agent skill from ImCa0/just-laws.

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    295 GitHub starsUsed in 4 repos~492 tokens
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    Convert any file or URL to clean Markdown: PDF, DOCX, XLSX, PPTX, HTML, images (OCR), audio, CSV, YouTube.

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Questions about Teach

What does Teach do?

Teaches the Second Brain to recognize a new external data source. Teach is an agent skill from ccplugins/awesome-claude-code-plugins. Teaches the Second Brain to recognize a new external data source.

When should I use Teach?

Teach fits situations like: : bedrock teach; import document; the user provides a Confluence; A remote file URL.

How do I install Teach in Claude Code?

Run `npx skills add ccplugins/awesome-claude-code-plugins --skill teach -a claude-code`. Or copy the skill folder (plugins/bedrock/skills/teach in ccplugins/awesome-claude-code-plugins) into .claude/skills/teach in your project. Claude Code loads it when a task matches its description.

How do I install Teach in Codex?

Run `npx skills add ccplugins/awesome-claude-code-plugins --skill teach -a codex`. Or copy the skill folder (plugins/bedrock/skills/teach in ccplugins/awesome-claude-code-plugins) into .agents/skills/teach in your project. Codex loads it when a task matches its description.

Can I use Teach in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ccplugins/awesome-claude-code-plugins --skill teach -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/teach, .gemini/skills/teach, .github/skills/teach and .opencode/skills/teach in your project.

What does Teach need to run?

Going by SKILL.md and its folder, Teach needs the command-line tools its instructions call (git, pipx, pip3, pip, curl and rsync). Our summary lists: Python 3. Its frontmatter pre-approves these tools: Bash, Read, Write, Edit, Glob, Grep, Skill, Agent, WebFetch, mcp__plugin_github_github__*, mcp__plugin_atlassian_atlassian__*.

Does Teach access the network?

SKILL.md names 1 domain. In commands or code: github.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Teach safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Teach use?

Teach is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Teach use?

About 5.9k tokens (SKILL.md is roughly 23k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Teach?

Skills that share tags, products or a category with Teach: Learn (iurykrieger/claude-bedrock, 105 stars), Markitdown (ImCa0/just-laws, 781 stars), Markit (shift-labs-ai/markit, 1.3k stars) and Markdown Converter (intellectronica/agent-skills, 295 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Teach?

ccplugins (a GitHub organization) maintains it in ccplugins/awesome-claude-code-plugins, which has 967 GitHub stars. The repository holds 68 skills in this directory. The repository was last updated on August 12, 2026.

Source: ccplugins/awesome-claude-code-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.